Laura Pérez‐Cano

1.7k total citations · 1 hit paper
23 papers, 952 citations indexed

About

Laura Pérez‐Cano is a scholar working on Molecular Biology, Genetics and Cognitive Neuroscience. According to data from OpenAlex, Laura Pérez‐Cano has authored 23 papers receiving a total of 952 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Genetics and 8 papers in Cognitive Neuroscience. Recurrent topics in Laura Pérez‐Cano's work include Genetics and Neurodevelopmental Disorders (7 papers), RNA and protein synthesis mechanisms (7 papers) and Autism Spectrum Disorder Research (7 papers). Laura Pérez‐Cano is often cited by papers focused on Genetics and Neurodevelopmental Disorders (7 papers), RNA and protein synthesis mechanisms (7 papers) and Autism Spectrum Disorder Research (7 papers). Laura Pérez‐Cano collaborates with scholars based in Spain, United States and Canada. Laura Pérez‐Cano's co-authors include Juan Fernández‐Recio, Albert Solernou, Carles Pons, Solène Grosdidier, Jennifer K. Lowe, Daniel H. Geschwind, Lee-kai Wang, Michael J. Gandal, Elizabeth K. Ruzzo and Jae-Yoon Jung and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Laura Pérez‐Cano

23 papers receiving 941 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Inherited and De Novo Genetic Risk for Autism Impacts Shared Networks

2019 257 citations Elizabeth K. Ruzzo, Laura Pérez‐Cano et al. Cell profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Laura Pérez‐Cano Spain	14	629	304	189	91	62	23	952
S. Shavit Israel	9	813 1.3×	438 1.4×	42 0.2×	57 0.6×	27 0.4×	19	1.2k
John D. Knafels United States	12	526 0.8×	170 0.6×	33 0.2×	60 0.7×	52 0.8×	16	940
Susanne Ressl United States	11	425 0.7×	119 0.4×	19 0.1×	39 0.4×	66 1.1×	16	681
Lewis Evans United Kingdom	14	587 0.9×	228 0.8×	17 0.1×	20 0.2×	69 1.1×	17	1.1k
S.X. Yan United States	12	933 1.5×	46 0.2×	17 0.1×	57 0.6×	31 0.5×	31	1.3k
Hannah Wilkinson United Kingdom	17	780 1.2×	72 0.2×	25 0.1×	9 0.1×	218 3.5×	21	1.0k
Jean‐Pierre Etchegaray United States	17	659 1.0×	175 0.6×	47 0.2×	5 0.1×	73 1.2×	28	1.3k
Karl Hager United States	16	881 1.4×	336 1.1×	110 0.6×	3 0.0×	21 0.3×	24	1.4k
Daniel R. Studelska United States	18	529 0.8×	67 0.2×	33 0.2×	14 0.2×	131 2.1×	32	980
Catherine K. Xu United Kingdom	17	466 0.7×	73 0.2×	17 0.1×	11 0.1×	42 0.7×	29	1.0k

Countries citing papers authored by Laura Pérez‐Cano

Since Specialization

Citations

This map shows the geographic impact of Laura Pérez‐Cano's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Laura Pérez‐Cano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Pérez‐Cano more than expected).

Fields of papers citing papers by Laura Pérez‐Cano

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laura Pérez‐Cano. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Laura Pérez‐Cano. The network helps show where Laura Pérez‐Cano may publish in the future.

Co-authorship network of co-authors of Laura Pérez‐Cano

This figure shows the co-authorship network connecting the top 25 collaborators of Laura Pérez‐Cano. A scholar is included among the top collaborators of Laura Pérez‐Cano based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Laura Pérez‐Cano. Laura Pérez‐Cano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Gallego, Xavier, et al.. (2024). Identification of novel driver risk genes in CNV loci associated with neurodevelopmental disorders. Human Genetics and Genomics Advances. 5(3). 100316–100316. 1 indexed citations

Pérez‐Cano, Laura, Luigi Boccuto, Francesco Sirci, et al.. (2024). Characterization of a Clinically and Biologically Defined Subgroup of Patients with Autism Spectrum Disorder and Identification of a Tailored Combination Treatment. Biomedicines. 12(5). 991–991. 2 indexed citations

Erickson, Craig A., Laura Pérez‐Cano, Ernest V. Pedapati, et al.. (2024). Safety, Tolerability, and EEG-Based Target Engagement of STP1 (PDE3,4 Inhibitor and NKCC1 Antagonist) in a Randomized Clinical Trial in a Subgroup of Patients with ASD. Biomedicines. 12(7). 1430–1430. 1 indexed citations

Cirnigliaro, Matilde, Timothy S. Chang, Laura Pérez‐Cano, et al.. (2023). The contributions of rare inherited and polygenic risk to ASD in multiplex families. Proceedings of the National Academy of Sciences. 120(31). e2215632120–e2215632120. 44 indexed citations

Pérez‐Cano, Laura, et al.. (2023). Translating precision medicine for autism spectrum disorder: A pressing need. Drug Discovery Today. 28(3). 103486–103486. 7 indexed citations

Kim, Minsoo, Jillian R. Haney, Pan Zhang, et al.. (2021). Brain gene co-expression networks link complement signaling with convergent synaptic pathology in schizophrenia. Nature Neuroscience. 24(6). 799–809. 39 indexed citations

Verdura, Edgard, et al.. (2021). Heterogeneity in Fragile X Syndrome Highlights the Need for Precision Medicine-Based Treatments. Frontiers in Psychiatry. 12. 722378–722378. 11 indexed citations

Ruzzo, Elizabeth K., Laura Pérez‐Cano, Jae-Yoon Jung, et al.. (2019). Inherited and De Novo Genetic Risk for Autism Impacts Shared Networks. Cell. 178(4). 850–866.e26. 257 indexed citations breakdown →

Ruzzo, Elizabeth K., Laura Pérez‐Cano, Jae-Yoon Jung, et al.. (2019). INHERITED AND DE NOVO GENETIC RISK FOR AUTISM IMPACTS SHARED BIOLOGICAL NETWORKS. European Neuropsychopharmacology. 29. S35–S36. 2 indexed citations

10.

Pérez‐Cano, Laura, Miguel Romero‐Durana, & Juan Fernández‐Recio. (2016). Structural and energy determinants in protein-RNA docking. Methods. 118-119. 163–170. 15 indexed citations

11.

Rosell, Albert, Marcel Meury, Meritxell Costa, et al.. (2014). Structural bases for the interaction and stabilization of the human amino acid transporter LAT2 with its ancillary protein 4F2hc. Proceedings of the National Academy of Sciences. 111(8). 2966–2971. 73 indexed citations

12.

Pérez‐Cano, Laura, Keren Lasker, Haim J. Wolfson, et al.. (2013). Conformational transitions in human translin enable nucleic acid binding. Nucleic Acids Research. 41(21). 9956–9966. 9 indexed citations

13.

Pallara, Chiara, Brian Jiménez‐García, Laura Pérez‐Cano, et al.. (2013). Expanding the frontiers of protein–protein modeling: From docking and scoring to binding affinity predictions and other challenges. Proteins Structure Function and Bioinformatics. 81(12). 2192–2200. 19 indexed citations

14.

Pérez‐Cano, Laura, Brian Jiménez‐García, & Juan Fernández‐Recio. (2012). A protein‐RNA docking benchmark (II): Extended set from experimental and homology modeling data. Proteins Structure Function and Bioinformatics. 80(7). 1872–1882. 43 indexed citations

15.

Pons, Carles, Albert Solernou, Laura Pérez‐Cano, Solène Grosdidier, & Juan Fernández‐Recio. (2010). Optimization of pyDock for the new CAPRI challenges: Docking of homology‐based models, domain–domain assembly and protein‐RNA binding. Proteins Structure Function and Bioinformatics. 78(15). 3182–3188. 23 indexed citations

16.

Pérez‐Cano, Laura & Juan Fernández‐Recio. (2010). Dissection and prediction of RNA-binding sites on proteins. BioMolecular Concepts. 1(5-6). 345–355. 4 indexed citations

17.

Pérez‐Cano, Laura, Albert Solernou, Carles Pons, & Juan Fernández‐Recio. (2009). STRUCTURAL PREDICTION OF PROTEIN-RNA INTERACTION BY COMPUTATIONAL DOCKING WITH PROPENSITY-BASED STATISTICAL POTENTIALS. WORLD SCIENTIFIC eBooks. 293–301. 53 indexed citations

18.

Pérez‐Cano, Laura & Juan Fernández‐Recio. (2009). Optimal protein‐RNA area, OPRA: A propensity‐based method to identify RNA‐binding sites on proteins. Proteins Structure Function and Bioinformatics. 78(1). 25–35. 80 indexed citations

19.

Pons, Carles, Solène Grosdidier, Albert Solernou, Laura Pérez‐Cano, & Juan Fernández‐Recio. (2009). Present and future challenges and limitations in protein–protein docking. Proteins Structure Function and Bioinformatics. 78(1). 95–108. 72 indexed citations

20.

Bavro, Vassiliy N., Zbigniew Pietras, Nicholas Furnham, et al.. (2008). Assembly and Channel Opening in a Bacterial Drug Efflux Machine. Molecular Cell. 30(1). 114–121. 138 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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